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. 2023 Sep 2;14:5358. doi: 10.1038/s41467-023-41004-3

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — a Distribution of the attribution score for mutational nucleotides. b Two specific examples of feature attribution analysis. The mutational nucleotide alignment was marked in red. The numerical value below the nucleotide was the attribution score for that specific nucleotide position. The ground truth and predicted off:on-target ratio was also provided under the whole alignment sequence. c, d Positional feature attributions of off-target for 1 bp mismatch, 1 bp insertion, and 1 bp deletion on ABE and CBE, respectively. The attribution scores were standardized by the Z-score, where values higher than 1 or lower than −1 signified an important contribution. Source data are provided as a Source Data file.